{"id":"W2286527303","doi":"10.1016/j.jtbi.2016.01.022","title":"Estimating finite-population reproductive numbers in heterogeneous populations","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Population; Basic reproduction number; Population size; Biology; Mixing (physics); Statistics; Mathematics; Demography; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0114527,0.0007165723,0.001421869,0.002127844,0.0006577302,0.002272143,0.003822529,0.001935414,0.00168563],"category_scores_gemma":[0.08186255,0.001186708,0.001096145,0.001073192,0.002365303,0.004043716,0.002322132,0.001712968,0.0001774571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608759,"about_ca_system_score_gemma":0.0008435964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003749075,"about_ca_topic_score_gemma":0.003726558,"domain_scores_codex":[0.9975835,0.001625315,0.00009165765,0.0004302732,0.000120504,0.0001487375],"domain_scores_gemma":[0.8857825,0.106603,0.003430867,0.002718133,0.0007883036,0.0006772439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003308826,0.0002478466,0.05086971,0.0002455177,0.0005783869,0.000444118,0.0006035491,0.7219114,0.001436868,0.187774,0.001018818,0.03453892],"study_design_scores_gemma":[0.0000401829,0.00003211898,0.002628521,0.00002625353,0.00004947193,0.00009780535,0.00008949627,0.8598505,0.0003307676,0.1366473,0.0001910859,0.00001660872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4236772,0.00055842,0.5730188,0.0007720629,0.00002947297,0.00006014756,0.0001693395,0.0001072142,0.001607408],"genre_scores_gemma":[0.9474986,0.000280983,0.05063704,0.0001187774,0.00007164743,0.00006774766,0.0002994711,0.00002700751,0.0009987361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0114527,"threshold_uncertainty_score":0.06056839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1633556019859523,"score_gpt":0.4415030939137511,"score_spread":0.2781474919277988,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}